Senior Applied Scientist - GenAI, Trust and Store Integrity Science

Amazon • Seattle, WA

96d • $150,400 - $260,000

About The Position

Join an innovative team of scientists at Amazon who utilize machine learning and statistical techniques to enhance customer experience by preventing eCommerce fraud. This role involves analyzing and modeling terabytes of data and creating advanced algorithms to solve real-world problems. You will own end-to-end business problems and metrics, directly impacting the company's profitability while collaborating in a diverse team environment. The Amazon Selling Partner Trust & Store Integrity Science Team is seeking a talented scientist passionate about building advanced machine learning systems to manage the safety of millions of transactions daily and scale operations through automation.

Requirements

• 4+ years of applied research experience.
• 3+ years of building machine learning models for business application experience.
• Experience programming in Java, C++, Python or related language.
• PhD, or Master's degree and 6+ years of applied research experience.
• Deep expertise in computer vision, natural language processing and generative AI technologies.

Nice To Haves

• Track record of leading large-scale AI transformation projects.
• Strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP.

Responsibilities

• Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations.
• Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value.
• Learn, explore and experiment with the latest machine learning advancements to create the best customer experience.
• Work closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems.
• Build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.
• Provide clear and compelling reports for your solutions and contribute to ongoing innovation and knowledge-sharing.

Benefits

• Equity and sign-on payments may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.

What This Job Offers

• Education Level: Ph.D. or professional degree